Neuphoria Therapeutics (NEUP) Total Non-Current Liabilities (2020 - 2026)
Neuphoria Therapeutics' Total Non-Current Liabilities was $2.14 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 63.7% from $5.89 million a year earlier and down 27.0% from the prior quarter.
Neuphoria Therapeutics (NEUP) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
From fiscal Q4 2021 onward, Neuphoria Therapeutics has reported Total Non-Current Liabilities for 12 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -8.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $5.89 million in FY2025 (+7.0%), $5.5 million in FY2024 (+43.7%), $3.83 million in FY2023 (+6.0%) and $3.61 million in FY2022 (+8.9%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last five quarters, with growth averaging 5.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2026 (growth of 62.2%); the worst was fiscal Q4 2026 (a decline of 63.7%).
- Per Business Quant data, NEUP's Total Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $2.93 million (Q3 2026), $4.18 million (Q2 2026) and $6.74 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Neuphoria Therapeutics | 335.34 Mn | 260.15 Mn | - | 1.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Mn |
| Mar 31, 2026 | 1.90 Mn |
| Dec 31, 2025 | 3.01 Mn |
| Sep 30, 2025 | 5.58 Mn |
| Jun 30, 2025 | 4.72 Mn |
| Mar 31, 2025 | 2.33 Mn |
| Dec 31, 2024 | 3.03 Mn |
| Sep 30, 2024 | 3.47 Mn |
| Jun 30, 2024 | 4.91 Mn |
| Dec 31, 2023 | 5.40 Mn |
| Jun 30, 2023 | 3.79 Mn |
| Dec 31, 2022 | 4.93 Mn |
| Jun 30, 2022 | 3.47 Mn |
| Dec 31, 2021 | 3.08 Mn |
| Jun 30, 2021 | 3.23 Mn |
| Jun 30, 2020 | -7.82 Mn |
Neuphoria Therapeutics Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=NEUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NEUP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=NEUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();